Handbook of Statistical Distributions with Applications

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Presenting both common and specialized probability distribution models, as well as providing applications with practical examples, this handbook offers comprehensive coverage of plots of probability density functions and methods of computing probability and percentiles along with algorithms for random number generation and inference, including point estimation, hypothesis tests and sample size determination. The new edition covers some important problems, including confidence intervals for relative risk, odds ratio and inferential methods based on censored samples. R code has also been added.